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Project Cursa - Robot Manipulation Video Annotator

1 month, 2 weeks ago
India, Philippines
Freelance
Entry Level
Data Annotator
Artificial Intelligence and Machine Learning
LLM
Apply Now
Welo Global

Welo Global

Welo Global specializes in providing enterprise localization, AI training data, and multilingual content solutions, leveraging a portfolio of specialized global brands to meet diverse customer needs in the AI and language services industry.

Professional Services
Founded 1997
View All Jobs 333

Description

  • Watch short robot manipulation videos from three synchronized camera angles.
  • Break videos into time segments and write natural-language descriptions for each segment.
  • Apply labels at the atomic motion, skill/subtask, and task/goal levels.
  • Ensure every moment of video is covered with no gaps, including idle or pause moments.
  • Accurately document failures, drops, failed grasps, slips, and other unexpected outcomes.
  • Cross-reference overhead and wrist-mounted camera views to verify scene context, object identity, contact, and grasp details.
  • Follow a detailed style guide for action vocabulary, spatial relationships, object descriptions, and movement manner.
  • Participate in periodic calibration sessions to align labeling with team and client reference examples.

Requirements

  • Strong written English with the ability to write dozens of precise descriptive sentences per video.
  • Sharp attention to detail and ability to distinguish small differences in robot actions.
  • Comfort following a detailed, structured style guide consistently, including in ambiguous or edge-case scenarios.
  • Basic comfort with spatial and mechanical description, including left/right, above/below, and object parts.
  • Reliable, self-directed work habits with periodic check-ins rather than close supervision.
  • Prior experience with video annotation, data labeling, transcription, or QA work (preferred).
  • Familiarity with robotics terminology such as grippers, end-effectors, and manipulation (preferred).
  • Experience with annotation tools such as Label Studio (preferred).

Benefits

  • Project-based opportunities that fit your availability.
  • Fully remote work with complete autonomy.
  • Optional access to AI and Large Language Model workshops.
  • Global contributor community with responsive guidance and support.
  • Opportunity to contribute to AI systems shaping the future of robotics-related work.

Interested in this position?

Apply directly on the company website

Apply Now

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